Approximate entropy and point correlation dimension of heart rate variability in healthy subjects

The contribution of nonlinear dynamics to heart rate variability in healthy humans was examined using surrogate data analysis. Several measures of heart rate variability were used and compared. Heart rates were recorded for three hours and original data sets of 8192 R-R intervals created. For each original data set (n=34), three surrogate data sets were made by shuffling the order of the R-R intervals while retaining their linear correlations. The difference in heart rate variability between the original and surrogate data sets reflects the amount of nonlinear structure in the original data set. Heart rate variability was analyzed by two different nonlinear methods, point correlation dimension and approximate entropy. Nonlinearity, though under 10 percent, could be detected with both types of heart rate variability measures. More importantly, not only were the correlations between these measures and the standard deviation of the R-R intervals weak, the correlation among the nonlinear measures themselves was also weak (generally less than 0.6). This suggests that in addition to standard linear measures of heart rate variability, the use of multiple nonlinear measures of heart rate variability might be useful in monitoring heart rate dynamics.     

Control of responding by location of auditory stimuli: rapid acquisition in monkey and rat

Monkeys require a considerably larger number of trials to bring responding under the control of the location of an auditory stimulus than cats, rats, and bats with the same experimental procedures. The present experiment sought to determine the conditions necessary for rapid acquisition of control of responding by location of noise and tone bursts in the monkey. Monkeys were run in an enclosure that contained four loudspeakers and four manipulanda. Two conditions were used in training. In the adjacent condition, a stimulus (noise or tone burst) was presented through one or other of two speakers and a response on the manipulandum adjacent to the speaker was reinforced with food. In the nonadjacent condition, a stimulus was presented through one of two speakers and a response on a manipulandum remote from the speaker was reinforced with food. Acquisition of control was measured by change in the percentage of reinforced responses during training. In the adjacent condition, responding came under control of location within zero to three sessions. In nonadjacent conditions, the animals required 14 to 20 sessions to come under control of location. These latter numbers are comparable to those reported in the literature for localization discrimination in monkeys.     

Object-substitution masking degrades the quality of conscious object representations

Object-substitution masking (OSM) is a unique paradigm for the examination of object updating processes. However, existing models of OSM are underspecified with respect to the impact of object updating on the quality of target representations. Using two paradigms of OSM combined with a mixture model analysis we examine the impact of post-perceptual processes on a target’s representational quality within conscious awareness. We conclude that object updating processes responsible for OSM cause degradation in the precision of object representations. These findings contribute to a growing body of research advocating for the application of mixture model analysis to the study of how cognitive processes impact the quality (i.e., precision) of object representations.     

Why are attitude–behaviour inconsistencies uncomfortable? Using motivational theories to explore individual differences in dissonance arousal and motivation to compensate

Using cognitive dissonance theories and self-determination theory, we explored the role of individual differences in global and contextual motivational orientations on dissonance arousal processes following spontaneous attitude–behaviour inconsistencies (ABIs). Study 1 (N = 382) showed that individual differences in global motivation relate to the frequency of ABIs and dissonance arousal across important life domains. Studies 2 (N = 282) and 3 (N = 202) showed that individual differences in contextual motivation toward the environment predict the relative frequency of ABIs and the quantity and quality of proximal motivation to compensate for ABIs in that context. Autonomous motivation was associated with a tendency to compensate for ABIs to both reduce dissonance and restore self-integrity. Controlled motivation disposed individuals to reduce dissonance to protect ego-invested self-structures, and to be indifferent to non self-threatening ABIs. Amotivation left people indifferent to ABIs. Individual differences in motivational orientations could explain why ABIs are uncomfortable and motivate people to compensate differently when they face ABIs.     

Exploring the associations shared by mood,pain-related attention and pain outcomes related to sleep disturbance in a chronic pain sample

Objective: Sleep disturbance in chronic pain is common, occurring in two-thirds of patients. There is a complex relationship between chronic pain and sleep; pain can disrupt sleep and poor sleep can exaggerate pain intensity. This may have an impact on both depressive symptoms and attention to pain. This study aims to evaluate the relationship between chronic pain and sleep, and the role of mood and attention.

Methods: Chronic pain patients, recruited from a secondary care outpatient clinic, completed self-report measures of pain, sleep, depressive symptoms and attention to pain. Hierarchical regression and structural equation modelling were used to explore the relationships between these measures. Participants (n = 221) were aged between 20 and 84 (mean = 52) years.

Results: The majority of participants were found to be ‘poor sleepers’ (86%) with increased pain severity, depressive symptoms and attention to pain. Both analytical approaches indicated that sleep disturbance is indirectly associated with increased pain severity Instead the relationship shared by sleep disturbance and pain severity was further associated with depressive symptoms and attention to pain.

Conclusions: Our results indicate that sleep disturbance may contribute to clinical pain severity indirectly though changes in mood and attention. Prospective studies exploring lagged associations between these constructs could have critical information relevant to the treatment of chronic pain.